Package edu.wpi.first.math.estimator
package edu.wpi.first.math.estimator
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ClassDescriptionAngle statistics functions.This class wraps
Differential Drive Odometryto fuse latency-compensated vision measurements with differential drive encoder measurements.This class wrapsDifferential Drive Odometryto fuse latency-compensated vision measurements with differential drive encoder measurements.A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.This class incorporates time-delayed measurements into a Kalman filter's state estimate.Interface for Kalman filters for use with KalmanFilterLatencyCompensator.This class wrapsMecanum Drive Odometryto fuse latency-compensated vision measurements with mecanum drive encoder distance measurements.This class wrapsMecanum Drive Odometryto fuse latency-compensated vision measurements with mecanum drive encoder distance measurements.MerweScaledSigmaPoints<S extends Num>Generates sigma points and weights according to Van der Merwe's 2004 dissertation[1] for the UnscentedKalmanFilter class.An Unscented Kalman Filter using sigma points and weights from Van der Merwe's 2004 dissertation.This class wrapsOdometryto fuse latency-compensated vision measurements with encoder measurements.This class wrapsOdometry3dto fuse latency-compensated vision measurements with encoder measurements.S3SigmaPoints<States extends Num>Generates sigma points and weights according to Papakonstantinou's paper[1] for the UnscentedKalmanFilter class.An Unscented Kalman Filter using sigma points and weights from Papakonstantinou's paper.SigmaPoints<States extends Num>A sigma points generator for the UnscentedKalmanFilter class.A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.This class wrapsSwerve Drive Odometryto fuse latency-compensated vision measurements with swerve drive encoder distance measurements.This class wrapsSwerve Drive Odometryto fuse latency-compensated vision measurements with swerve drive encoder distance measurements.A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.